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Add parameters to mlflow handler #68

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36 changes: 18 additions & 18 deletions undeepvo/utils/mflow_handler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,26 +3,26 @@
import mlflow
import mlflow.exceptions

DEFAULT_USER_NAME = ""
DEFAULT_PASSWORD = ""
DEFAULT_DATABRICKS_HOST = ""
DEFAULT_HOST_URI = "http://329801-ilinvalery.tmweb.ru:5001/"
DEFAULT_EXPERIMENT_NAME = "undeepvo"
CREATE_DATABRICKS_CREDENTIALS = False

os.environ["MLFLOW_S3_ENDPOINT_URL"] = "http://329801-ilinvalery.tmweb.ru:9000"
os.environ["AWS_ACCESS_KEY_ID"] = "123"
os.environ["AWS_SECRET_ACCESS_KEY"] = "12345678"


class MlFlowHandler(object):
def __init__(self, experiment_name=DEFAULT_EXPERIMENT_NAME, user_name=DEFAULT_USER_NAME, password=DEFAULT_PASSWORD,
host_uri=DEFAULT_HOST_URI, create_databricks_credential=CREATE_DATABRICKS_CREDENTIALS,
databricks_host=DEFAULT_DATABRICKS_HOST, mlflow_tags={}, mlflow_parameters={}):
self._user_name = DEFAULT_USER_NAME
self._password = DEFAULT_PASSWORD
if host_uri == "databricks" and create_databricks_credential:
self._create_databricks_credential(user_name, password, databricks_host)
def __init__(self,
experiment_name="",
host_uri="",
databricks_config=None,
artifact_aws_config=None,
mlflow_tags=None,
mlflow_parameters=None):
if databricks_config is not None:
self._create_databricks_credential(databricks_config["username"], databricks_config["password"],
databricks_config["databricks_host"])
if artifact_aws_config is not None:
os.environ["MLFLOW_S3_ENDPOINT_URL"] = artifact_aws_config["endpoint"]
os.environ["AWS_ACCESS_KEY_ID"] = artifact_aws_config["username"]
os.environ["AWS_SECRET_ACCESS_KEY"] = artifact_aws_config["password"]
if mlflow_tags is None:
mlflow_tags = {}
if mlflow_parameters is None:
mlflow_parameters = {}
mlflow.set_tracking_uri(host_uri)
self._experiment_name = experiment_name
self._mlflow_client = mlflow.tracking.MlflowClient(host_uri)
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15 changes: 2 additions & 13 deletions undeepvo/utils/training_process_handler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,17 +5,10 @@
from torch.utils.tensorboard import SummaryWriter
from tqdm.auto import tqdm

from .mflow_handler import MlFlowHandler


class TrainingProcessHandler(object):
def __init__(self, data_folder="logs", model_folder="model", enable_iteration_progress_bar=False,
model_save_key="loss", mlflow_tags=None, mlflow_parameters=None, enable_mlflow=True,
mlflow_experiment_name="undeepvo"):
if mlflow_tags is None:
mlflow_tags = {}
if mlflow_parameters is None:
mlflow_parameters = {}
model_save_key="loss", mlflow_handler=None):
self._name = None
self._epoch_count = 0
self._iteration_count = 0
Expand All @@ -41,11 +34,7 @@ def __init__(self, data_folder="logs", model_folder="model", enable_iteration_pr
self._audio_configs = {}
self._global_epoch_step = 0
self._global_iteration_step = 0
if enable_mlflow:
self._mlflow_handler = MlFlowHandler(experiment_name=mlflow_experiment_name,
mlflow_tags=mlflow_tags, mlflow_parameters=mlflow_parameters)
else:
self._mlflow_handler = None
self._mlflow_handler = mlflow_handler
self._artifacts = []

def setup_handler(self, name, model):
Expand Down